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Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity

Crossref DOI link: https://doi.org/10.1186/s13321-019-0356-5

Published Online: 2019-05-31

Published Print: 2019-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Allen, Chad H. G. https://orcid.org/0000-0001-7289-6529
Mervin, Lewis H.

Mahmoud, Samar Y.

Bender, Andreas
Funding

Funding for this research was provided by:

European Chemical Industry Council (CEFIC LRI Award 2012)
License Information

Text and Data Mining valid from 2019-05-31

Version of Record valid from 2019-05-31
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Article History

Received: 3 December 2018

Accepted: 15 May 2019

First Online: 31 May 2019

Competing interests

: The authors declare that they have no competing interests.

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